In present work the approach was investigated in details on a famous image called "Lena" that was subject to numerous image segmentation approaches. Comparison with original features and extracted ones by randomly generated ESN reservoir and its IP tuned version were compared with respect to their distribution and clustering results using kmeans algorithm. The results were compared with several clustering approaches applied by far to Lena image, namely fuzzy c-means, subtractive clustering [1]}, hard thresholding and multi-level image thresholding using Otsu's method [2]}.
